rdf:type |
|
lifeskim:mentions |
|
pubmed:issue |
11
|
pubmed:dateCreated |
2010-10-28
|
pubmed:abstractText |
Uncovering the genetic basis of agronomic traits in crop landraces that have adapted to various agro-climatic conditions is important to world food security. Here we have identified ? 3.6 million SNPs by sequencing 517 rice landraces and constructed a high-density haplotype map of the rice genome using a novel data-imputation method. We performed genome-wide association studies (GWAS) for 14 agronomic traits in the population of Oryza sativa indica subspecies. The loci identified through GWAS explained ? 36% of the phenotypic variance, on average. The peak signals at six loci were tied closely to previously identified genes. This study provides a fundamental resource for rice genetics research and breeding, and demonstrates that an approach integrating second-generation genome sequencing and GWAS can be used as a powerful complementary strategy to classical biparental cross-mapping for dissecting complex traits in rice.
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pubmed:commentsCorrections |
|
pubmed:language |
eng
|
pubmed:journal |
|
pubmed:citationSubset |
IM
|
pubmed:status |
MEDLINE
|
pubmed:month |
Nov
|
pubmed:issn |
1546-1718
|
pubmed:author |
pubmed-author:AbeL ELE,
pubmed-author:BucklerEdward SES,
pubmed-author:DengLiuweiL,
pubmed-author:FanDanlinD,
pubmed-author:FengQiQ,
pubmed-author:FuY PYP,
pubmed-author:GuoYunliY,
pubmed-author:HuangTaoT,
pubmed-author:HuangXuehuiX,
pubmed-author:JingYufengY,
pubmed-author:LiCanyangC,
pubmed-author:LiJiayangJ,
pubmed-author:LiWenjunW,
pubmed-author:LiuKunyanK,
pubmed-author:LuTingtingT,
pubmed-author:LuYiqiY,
pubmed-author:MengLiL,
pubmed-author:RanL ALA,
pubmed-author:SangTaoT,
pubmed-author:WangAhongA,
pubmed-author:WangLuL,
pubmed-author:WeiXinghuaX,
pubmed-author:WengQijunQ,
pubmed-author:XXX,
pubmed-author:ZhangLinL,
pubmed-author:ZhangQi-FaQF,
pubmed-author:ZhaoQiangQ,
pubmed-author:ZhaoYanY,
pubmed-author:ZhouTaoyingT,
pubmed-author:ZhuChuanrangC
|
pubmed:issnType |
Electronic
|
pubmed:volume |
42
|
pubmed:owner |
NLM
|
pubmed:authorsComplete |
Y
|
pubmed:pagination |
961-7
|
pubmed:dateRevised |
2010-12-2
|
pubmed:meshHeading |
pubmed-meshheading:20972439-Agriculture,
pubmed-meshheading:20972439-Base Sequence,
pubmed-meshheading:20972439-China,
pubmed-meshheading:20972439-Chromosomes, Plant,
pubmed-meshheading:20972439-Crops, Agricultural,
pubmed-meshheading:20972439-Genetic Variation,
pubmed-meshheading:20972439-Genome, Plant,
pubmed-meshheading:20972439-Genome-Wide Association Study,
pubmed-meshheading:20972439-Geography,
pubmed-meshheading:20972439-Linkage Disequilibrium,
pubmed-meshheading:20972439-Oryza sativa,
pubmed-meshheading:20972439-Polymorphism, Single Nucleotide,
pubmed-meshheading:20972439-Quantitative Trait Loci
|
pubmed:year |
2010
|
pubmed:articleTitle |
Genome-wide association studies of 14 agronomic traits in rice landraces.
|
pubmed:affiliation |
National Center for Gene Research, Institute of Plant Physiology and Ecology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, Shanghai, China.
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pubmed:publicationType |
Journal Article,
Research Support, Non-U.S. Gov't
|